Triple

T6360597
Position Surface form Disambiguated ID Type / Status
Subject Mail.ru Group E143097 entity
Predicate formerName P65 FINISHED
Object Port.ru
Port.ru was the original name of the Russian internet company that later became Mail.ru Group, a major online services and email provider.
E587889 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Port.ru | Statement: [Mail.ru Group, formerName, Port.ru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port.ru
Context triple: [Mail.ru Group, formerName, Port.ru]
  • A. RU
    RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
  • B. RU
    RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
  • C. RU
    RU is the historic vehicle registration code that was used for the English county of Rutland.
  • D. RU
    RU is the two-letter ISO 3166 country code for the Russian Federation.
  • E. RUS
    RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Port.ru
Triple: [Mail.ru Group, formerName, Port.ru]
Generated description
Port.ru was the original name of the Russian internet company that later became Mail.ru Group, a major online services and email provider.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Port.ru
Target entity description: Port.ru was the original name of the Russian internet company that later became Mail.ru Group, a major online services and email provider.
  • A. RU
    RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
  • B. RU
    RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
  • C. RU
    RU is the two-letter ISO 3166 country code for the Russian Federation.
  • D. RU
    RU is the historic vehicle registration code that was used for the English county of Rutland.
  • E. RUS
    RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f8758081909c5ce40abf57dd2c completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d6d906481908b5883bff18ceec8 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62e2072808190a4f2dd262b631c88 completed March 27, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69c62f1bbdac8190b0cff9fbcddd68a7 completed March 27, 2026, 7:17 a.m.
Created at: March 22, 2026, 4:32 p.m.